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2 Day Workshop: Human Error: Why Human Error is the biggest downtime


Everyday
08.00 AM 
 
EAST BRUNSWICK
NEW JERSEY Wisconsin 08816



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2 Day Workshop: Human Error: Why Human Error is the biggest downtime problem in the manufacturing sector and how to investigate, control, reduce, and prevent to improve results.


Location 1: New Brunswick
May 10 - 11



Description
Small mistakes can lead to big disasters—just ask the scientists and engineers who worked on the Mars Climate Orbiter: a $327.6-million USD spacecraft that was destroyed because of a failure to properly convert between units of measurement.

Any manufacturer who’s had to shut down an entire production line because someone misread a label or forgot to “carry the one” can sympathize. In fact, according to a new study from Vanson Bourne, manufacturers know the pain of unplanned downtime due to human error better than anyone.

An interactive workshop presented by Ginette M. Collazo & WCS

Dr. Ginette Collazo — a 15 year veteran of helping drug, biologic and device firms reduce manufacturing errors by 50 percent or more — will conduct a one-of-a-kind workshop that teaches quality managers and manufacturing excellence professionals how to reduce errors and improve quality metrics.Dr. Collazo recently worked with a drug manufacturer that had a baseline rate of 4.7 errors per thousand units manufactured. But with effective human error reduction strategies, the error rate was reduced to 1.9.

A 60% reduction achieved in just 10 months

Human error is known to be the major cause of quality and production losses in many industries. Although it is unlikely that human error will ever be totally eliminated, many human performance problems can be prevented. Human errors start at the design stage. From procedures, training, and workplace environment many variables that affect human behavior CAN be manipulated reducing the likelihood of these occurrences. To work with these challenges it is really important to understand human behavior and the psychology of error as well as understand exactly where the systems weaknesses are, so they can be improved and/or fixed. This course offers practical approaches to address human performance issues in GMP related environments by using a specific methodology to investigate, correct, prevent and avoid re-occurrence of these issues.

Areas Covered
• Background on Human Error Phenomena
• Importance of Human Error Prevention/reduction
• Training and human error
• Facts about human error
• Human Error as the Root Cause
• What is Human Error
• How is Human Error controlled?
• Common mistakes: Memory failures, Overconfidence, We believe we are above average, Visual Detection, Vigilance Effectiveness.
• Types of error
• Human error rates and measurement
• Trending and tracking
• Prediction
• CAPA effectiveness

Who will Benefit
• QA/QC directors and managers
• Process improvement/excellence professionals
• Training directors and managers
• Manufacturing operations directors
• Human factors professionals
• Plant engineering
• Compliance officers
• Regulatory professionals
• Executive management

Learning Objectives
Ginette Collazo has recently developed new tools to measure, explain and predict human error from both process and cognitive load perspectives. And she’ll demonstrate her newly created tools for improving systems and processes, staff training and reducing human error:

• Process-related prediction tool: This tool allows organizations to identify cracks and concerns that are based on their organizational processes. 80% of mistakes are caused by problems within these systemic areas:

o Procedures
o Human factors engineering
o Training
o Communication
o Supervision

• Cognitive load assessment tool: Only 20% of mistakes occur due to human frailties. This tool examines best practices for restructuring training and processes to improve workers’ ability to perform as expected. The tool focuses on workers’:

o Individual performance
o Memory
o Attention
o Problem solving
o Calculating
o Reasoning
o And decision making



DR. Ginette M. Collazo
Owner - Industrial/Organizational Psychologist
DR. Ginette M. Collazo has spent more than 15 years in technical training, organizational development and human reliability. She has worked with Bristol-Myers Squibb, Johnson & Johnson, Schering-Plough, Wyeth and Medtronic, many more small and mid-sized drug and device companies. An active researcher in specialized studies related to human reliability, she is the author of numerous publications on these topics.

Dr. Ginette M. Collazo obtained her PhD in Industrial/Organizational Psychology from the Interamerican University of Puerto Rico. Ginette has over 15 years of experience in the pharmaceutical industry with the Technical Training, Organizational Development and Human Reliability fields.

Currently she is the president of Ginette M. Collazo, Inc. a firm that works with organizations to improve productivity by helping them identify and implement innovative strategies that will warrant that business objectives and results are met and exceeded. GMC, Inc. specializes, also, in Human Error reduction allowing organizations to achieve savings and reduce/avoid unnecessary costs associated with people’s mistakes.

Ginette’s clients all over the world including Germany, Argentina, USA, Trinidad Tobago, Dominican Republic, Singapore, Europe, and more. She has been a guest speaker about these topics in several professional conferences including American Institute for Chemical Engineers Global conference, Center for Chemical and Process Safety, American Society for Quality, California State Lands Commission Prevention First 2010 conference, Interphex PR and NY, FDAnews, among others.



Seminar One Registration $1295|Special Group Discount Register for Four attendees|$ 3995



HILTON EAST BRUNSWICK HOTEL & EXECUTIVE MEETING CENTER
3 TOWER CENTER BOULEVARD, EAST BRUNSWICK, NEW JERSEY, 08816, USA
TEL: +1-732-828-2000



https://worldcomplianceseminars.com/seminardetails/38
conference manager
Phone: 844-267-7299
  +1-732-828-2000
Email: subscribe (at) worldcomplianceseminars.com
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